Deployment of the Taguchi technique for surface roughness optimisation Online publication date: Mon, 20-Sep-2021
by Vivek Deshpande; Ismail W.R. Taifa; Nesredin Chekole Deresse
International Journal of Industrial and Systems Engineering (IJISE), Vol. 39, No. 1, 2021
Abstract: The aim is to investigate the machining parameters that are important to optimise surface roughness (Ra) through experimentation for EN45 steel material (AISI 9260). Optimisation of the machining parameters for a cylindrical grinding operation helps to save time, cost, and influence to get better surface characteristics and surface finish. The study deployed the Taguchi technique. The scrutinised factors included the feed rate, work speed and the depth of cut (DOC). Experimental set up involved the L9 orthogonal array. Minitab® and Microsoft® Excel 2016 generated results after applying the design of experiment. The Ra was tested by using a portable surface roughness tester. The silicon carbide wheel and a hydraulic cylindrical grinder machine were used. After analysing the generated results, DOC was found to be statistically significant. The influential parameter of Ra was found to be DOC as it contributed to 45.3% and 58.6% before and after heat treatment processes, respectively.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook